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Record W3156788406 · doi:10.1016/j.ajoc.2021.101086

Idiopathic retinal arterial occlusive vasculitis in the setting of multiple arterial occlusions

2021· article· en· W3156788406 on OpenAlexaff
Patrick Wang, Eric K. Chin, David R.P. Almeida

Bibliographic record

VenueAmerican Journal of Ophthalmology Case Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicOcular Diseases and Behçet’s Syndrome
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineRetinal vasculitisVasculitisVitreous hemorrhageRetinalGiant cell arteritisNeovascularizationArteritisOphthalmologySurgeryPathologyRetinal detachmentDiseaseInternal medicineAngiogenesis

Abstract

fetched live from OpenAlex

PURPOSE: We present a patient with vaso-occlusive retinal vasculitis to summarize this uncommon entity and review the clinical features and management challenges applicable to patients with retinal vasculitis. OBSERVATIONS: A 76-year-old male presented with sudden-onset severe central vision loss. On examination, vitreous hemorrhage, neovascularization of the optic nerve, peripheral segmental periphlebitis, vessel sclerosis, vascular sheathing, and retinal hemorrhages were observed, and a diagnosis of active vaso-occlusive retinal vasculitis was made. The patient then underwent a complete infectious, inflammatory, and neoplastic workup which returned negative. The patient was treated with locally with a sub-Tenon's injection of 40 mg triamcinolone on presentation and later with oral prednisone. At three-month follow-up, vision improved to 20/300 with regressing neovascularization and clearing of vitreous hemorrhage in the right eye (OD). CONCLUSIONS: Considering novel associations of occlusive retinal vasculitis, it is important to recognize that idiopathic occlusive retinal vasculitis, although uncommon, can occur and represents a prototypical disease form. It is imperative that these patients have a complete infectious, inflammatory, and neoplastic workup owing to the possible overlap of masquerade clinical signs and symptoms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.572

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.290
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Ophthalmology Case ReportsSame topicOcular Diseases and Behçet’s SyndromeFrench-language works237,207